Binocular Visual Environment Perception Technology for Unmanned Surface Vehicle

Wang, Yilong; Peng, Man; Liu, Zaihua; Wan, Wenhui; Di, Kaichang; Hu, Cheng; Liu, L.; Lv, T.; Yang, Chengxiang

doi:10.5194/isprs-archives-xliii-b2-2020-1297-2020

Cited by 3 publications

(2 citation statements)

References 19 publications

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“…Vision sensors acquire the image information of the surrounding environment by machine vision and process the captured images to achieve environmental perception. Wang et al proposed a framework for automatic detection and localization of USV realtime targets based on binocular vision [22]. It extracts and matches the features within a target area determined by a deep convolution network.…”

Section: Vision-based Information Perception Technologymentioning

confidence: 99%

Review of Ship Behavior Characteristics in Mixed Waterborne Traffic

Tang

Mou

Chen

et al. 2022

JMSE

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Through the continuous development of intellectualization, considering the lifecycle of ships, the future of a waterborne traffic system is bound to be a mixed scenario where intelligent ships of different autonomy levels co-exist, i.e., mixed waterborne traffic. According to the three modules of ships’ perception, decision-making, and execution, the roles of humans and machines under different autonomy levels are analyzed. This paper analyzes and summarizes the intelligent algorithms related to the three modules proposed in the last five years. Starting from the characteristics of the algorithms, the behavior characteristics of ships with different autonomous levels are analyzed. The results show that in terms of information perception, relying on the information perception techniques and risk analysis methods, the ship situation can be judged, and the collision risk is evaluated. The risk can be expressed in two forms, being graphical and numerical. The graphical images intuitively present the risk level, while the numerical results are easier to apply into the control link of ships. In the future, it could be considered to establish a risk perception system with digital and visual integration, which will be more efficient and accurate in risk identification. With respect to intelligent decision-making, currently, unmanned ships mostly use intelligent algorithms to make decisions and tend to achieve both safe and efficient collision avoidance goals in a high-complexity manner. Finally, regarding execution, the advanced power control devices could improve the ship’s maneuverability, and the motion control algorithms help to achieve the real-time control of the ship’s motion state, so as to further improve the speed and accuracy of ship motion control. With the upgrading of the autonomy level, the ship’s behavior develops in a safer, more efficient, and more environment-friendly manner.

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Section: Vision-based Information Perception Technologymentioning

confidence: 99%

Review of Ship Behavior Characteristics in Mixed Waterborne Traffic

Tang

Mou

Chen

et al. 2022

JMSE

View full text Add to dashboard Cite

show abstract

“…The automobile millimetre‐wave radar has become the important sensor in automatic driving technology due to its all‐weather and all‐day operating characteristic [1]. At present, it is mainly applied to extracting some information such as the speed and angle of the object in automatic driving [2].…”

Section: Introductionmentioning

confidence: 99%

Motion compensation method of an imaging radar based on unmanned automobile

Huang

Shan

et al. 2019

J. eng.

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Research on Redundant Design Technique for USV Autonomous Control System

Huang

Feng

et al. 2021

J. Phys.: Conf. Ser.

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In the field of USV autonomous control system design, redundant design technology is the important method to improve system reliability. In order to solve the problem of insufficient reliability when USV carrying out long endurance and open sea task, this paper analyzes the critical design elements of autonomous control system redundant configuration, presents a high reliable hybrid redundant structure for USV autonomous control system, and realizes redundant strategy and fault-tolerant control. This paper forms the USV autonomous control system redundant configuration scheme comply with the fault-tolerant capability and redundant rank of USV autonomous control system. Redundancy management strategies and algorithms are used to implement USV autonomous control based on hybrid redundant design. The reliability analysis and computation validate task reliability of the autonomous control system based on hybrid redundant structure.

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Binocular Visual Environment Perception Technology for Unmanned Surface Vehicle

Cited by 3 publications

References 19 publications

Review of Ship Behavior Characteristics in Mixed Waterborne Traffic

Review of Ship Behavior Characteristics in Mixed Waterborne Traffic

Motion compensation method of an imaging radar based on unmanned automobile

Research on Redundant Design Technique for USV Autonomous Control System

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